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Synthetic controls reveal hurricane effects on urban bee biodiversity from iNaturalist data


Combining participatory science data with synthetic control methods enables stronger causal inference about the drivers of urban biodiversity from observational datasets. Applying this framework to assess the effect of Hurricane Ida on bee observations in Philadelphia revealed a 15.5–20.9% decline that conventional ecological analyses failed to detect.

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Fig. 1: Synthetic controls for participatory science data.
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References

  1. United Nations. Convention on Biological Diversity https://www.cbd.int/convention/text (Secretariat of the Convention on Biological Diversity, 1992). This foundational UN agreement highlights the importance of documenting biodiversity, including in urban systems, which motivates this study and framework.

  2. Kimmel, K., Dee, L. E., Avolio, M. L. & Ferraro, P. J. Causal assumptions and causal inference in ecological experiments. Trends Ecol. Evol. 36, 1141–1152 (2021). This review summarizes key concepts and assumptions that underlie causal inference in ecological research.

    Article 
    PubMed 

    Google Scholar 

  3. Abadie, A., Diamond, A. & Hainmueller, J. Comparative politics and the synthetic control method. Am. J. Polit. Sci. 59, 495–510 (2015). This paper outlines the synthetic control method, including its assumptions, data requirements and implementation.

    Article 

    Google Scholar 

  4. Fick, S. E., Nauman, T. W., Brungard, C. C. & Duniway, M. C. Evaluating natural experiments in ecology: using synthetic controls in assessments of remotely sensed land treatments. Ecol. Appl. 31, e02264 (2020). This review examines the use of synthetic controls with remotely sensed ecological data and informed our comparison with traditional ecological analyses.

    Article 

    Google Scholar 

  5. Bird, T. J. et al. Statistical solutions for error and bias in global citizen science datasets. Biol. Conserv. 173, 144–154 (2014). This review discusses common sources of bias in participatory science data and presents analytic approaches to address them.

    Article 

    Google Scholar 

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This is a summary of: Kaiser, A. et al. Synthetic control methods enable stronger causal inference using participatory science data in cities. Nat. Ecol. Evol. https://doi.org/10.1038/s41559-026-03084-4 (2026).

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Synthetic controls reveal hurricane effects on urban bee biodiversity from iNaturalist data.
Nat Ecol Evol (2026). https://doi.org/10.1038/s41559-026-03085-3

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  • DOI: https://doi.org/10.1038/s41559-026-03085-3


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